ShiFt · IntentOS™
See where demand is.
Before your market does.
Pick a vertical, enter a market, and IntentOS™ renders a live evidence-based county-level demand map from real signals. Roofing is one of six verticals — the engine does the same for each.
IntentOS™
IntentOS™ Storm Damage Activity Map
Enter a market. See where demand is.
Choose a vertical, then enter a location.
This is one of six verticals. The engine does the same for each.
How IntentOS™ builds the demand map
IntentOS™ pulls from verified public data sources and processes them into a county-level demand signal. For roofing, those sources include NOAA storm event records and state contractor licensing registries. Storm event data captures hail, wind, and other damage-triggering weather at the county level. Licensing data captures the density of active licensed roofers serving the same areas. Together, those two signals produce a picture of where demand is likely elevated relative to the number of contractors already positioned to serve it.
The map shows storm activity using a recency window so events from last week carry more weight than events from several months ago. Licensed roofer density is displayed as a separate layer so you can distinguish between a high-storm area with many active contractors and a high-storm area that is underserved. The combination of those two signals is more actionable than either one alone.
IntentOS™ is designed for intelligence that helps a business position and prepare, not for targeting individual addresses. All output is at the county level. Source attribution and ingest dates are displayed on every layer so you can see exactly where the data comes from and how recent it is.
What you do with the intelligence
Knowing where demand is elevated is only useful if you can respond to that demand faster and more consistently than others. IntentOS™ is designed to connect to ShiFt's response and conversion infrastructure so that when a buyer in a high-signal area reaches out, the system answers immediately, qualifies the opportunity, and books the next step without manual intervention.
For roofing companies specifically, that means being positioned and ready before a storm-driven demand surge peaks rather than scrambling to respond after the phones start ringing. The businesses that win in those windows are rarely the ones who get the most leads. They are the ones who convert the most leads, and conversion speed is determined by the quality of the response infrastructure already in place when demand arrives.
The intelligence advantage
Why knowing before the phones ring changes everything
Most contractors find out about a demand surge when the phones start ringing. By that point, the window is already competitive. Every contractor in the market is fielding the same calls at the same time. The businesses that win those windows are not necessarily the ones with the best reviews or the most experience — they are the ones whose response infrastructure was already tuned to convert at high volume before the surge began. You cannot tune that infrastructure in real time.
IntentOS™ is built on the premise that demand signals exist before they become phone calls. A hail event leaves a measurable trail in NOAA storm records. Permit activity reflects decisions homeowners have already made. Contractor density in a given area is a public record, visible through state licensing registries. These signals do not predict the future perfectly, but they paint a picture of where demand is elevated relative to the capacity already in place to serve it — and that picture is available days or weeks before it becomes obvious to everyone in the market.
The value of that early picture is not primarily about marketing. It is about readiness. A roofing company that can see elevated storm activity in a county three weeks out has time to confirm that its response system is configured to handle high call volume without dropping leads, that its follow-up sequences are active, and that its booking path can absorb a surge in same-day and next-day inspection requests. A company that finds out about the surge when it is already happening has none of that preparation time.
The six-vertical architecture of IntentOS™ reflects the fact that demand intelligence is not unique to roofing. Every industry where buyers act on external triggers — weather, legal events, business milestones, regulatory changes — produces signal before it produces inbound calls. Roofing is the most direct example because storm data is public and well-structured. The same intelligence model applies wherever the signal exists and wherever the response infrastructure is built to act on it.
Owned intelligence versus rented signal
There is a meaningful difference between a business that has access to an intelligence tool while it pays for a subscription and a business that has built the intelligence layer as owned infrastructure. When the subscription ends, the rented access ends. The historical signal data, the county-level demand history, the context that accumulated over months of use — all of it is tied to the vendor relationship. The business retains nothing it can act on independently.
ShiFt builds IntentOS™ as an owned layer within the client's infrastructure. The data ingestion, the signal processing logic, the map rendering, and the historical records are all inside the client's system. That means the demand intelligence compounds over time — each event season adds to a picture of which areas historically produce the strongest demand, which channels perform best during surge windows, and what response patterns convert at the highest rate under high-volume conditions. That kind of institutional intelligence is not available from a dashboard you rent.
Intelligence you own versus signal you rent.
IntentOS™ is proof that ShiFt builds on data you own — not scraped feeds. The homepage demo proves speed. This map proves intelligence.